Best 49 Data Science Tools in 2025

Video tutorials
Coding challenges
Courses on R, Python, Statistics, SQL, Power BI, Tableau, and more

Start learning for free by creating an account. Choose from a wide range of courses in Python, R, SQL, Power BI, Tableau, and more. Complete interactive courses, practice with daily coding challenges, and apply your skills to real-world problems.

AI training data
SEO texts
web research
tagging
surveys

Use the crowdsourcing principle with the power of >6M Clickworkers

Practical Deep Learning for Coders courses
Machine Learning and AI tutorials
Blog with articles on AI ethics, technical advancements, and real-world applications
Resources for data scientists, including libraries and tools
Educational materials on deep learning, machine learning, and AI

To use fast.ai, you can start by exploring their courses and educational materials. They offer practical deep learning courses for coders, where you can learn how to build and train neural networks using popular frameworks like PyTorch. Additionally, you can access their blog, which features articles on AI ethics, technical advancements, and real-world applications. The website also offers resources for data scientists, including libraries and tools that can enhance your workflow.

Virtual labs for higher education
Tech training and demo
Easy setup and access
Seamless integration with Learning Management Systems
Support for AI, Cloud Computing, Data Science, and more

1. Create an account on the Vocareum website. 2. Choose the desired lab or course. 3. Access the virtual lab environment. 4. Follow the instructions and complete the lab activities. 5. Submit your work for grading and assessment.

AI-powered code generation from plain language
Code analysis and bug detection
Code review and documentation
Code simplification and visualization
Unit test generation
Integration with popular development environments
30+ supported programming languages and technologies

To use CodePal, simply enter plain words or descriptions of the code you want to generate in the text input. Select the programming language or technology you want to generate code in. The AI-powered tool will then generate working code based on your input. You can also utilize other tools and helpers available on the platform to analyze, review, refactor, and simplify code, among other tasks.

AI Consulting
Generative AI
Supply Chain
CX Management
MLOps
Data Engineering
Data Migration
Customer Analytics

Move ideas from experimentation to reality with our accelerators

Build AI models in minutes
One-click deployment to production
Automated model monitoring with if-this-then-that automations
Real-time REST APIs for integrating AI into apps or visualizing prediction data
24x7 access to a dedicated data scientist for assistance with data merging, enrichment, cleaning, etc.

To use Obviously AI, follow these steps: 1. Sign up on the Obviously AI website. 2. Upload your tabular data and select the target variable. 3. Choose the type of prediction model you want to create (classification, regression, or time series). 4. Click on the 'Build Model' button to generate an AI model based on your data. 5. Explore the results and predictions from the model. 6. If desired, deploy the model with a single click to create web apps or integrate it into your existing tools using real-time REST APIs.

Community forums
Data science competitions
Machine learning tracks

To use Open Data Science, simply sign up for an account on the website and join the various tracks, competitions, and projects.

Automatic generation of Python code based on spreadsheet edits
AI assistant (Mito AI) that writes code based on plain English descriptions of edits
Integration with Jupyter and Streamlit for easy setup and usage
Ability to upgrade Python scripts to interactive Streamlit dashboards
Data import and exploration from various sources, such as Snowflake
Data quality verification checks before exporting data
Basic spreadsheet demo for data exploration and cleaning
Support for AI automation and improvement of AI performance
Suitable for analysts in financial services and life sciences industries

To use Mito, simply install the Mito spreadsheet extension or component, which works with Jupyter and Streamlit. Once installed, you can edit your data in the Mito spreadsheet and the tool will automatically generate corresponding Python code for each edit you make. This allows you to automate repetitive tasks and take control of automation using the familiar spreadsheet interface.

AI-driven recommendations and deal insights
Sales projections for refined planning and strategy
Revenue analysis for uncovering key financial insights
Growth strategy identification for finding untapped potential
Customer behavior analysis for tailored offers and increased retention
360-degree view of customer service metrics for better meetings
Team performance analysis for identifying strengths and areas for improvement
Deal loss analysis for evaluating failed deals and customer churn
Profit margin analysis for cost reduction and strategic investments
Flexible and competitive pricing strategy development
Understanding market impact on growth and performance
Comprehensive deal analysis for closing more deals
Track and analyze relevant growth metrics with ease

To use Lyzr, simply connect your data, either local or from a central data lake. The platform offers an easy-to-use interface with powerful data science and generative AI capabilities. No coding is required. Once connected, you can access hundreds of pre-built insights instantly. Our team of experts can guide you through the product and help you get started quickly.